Kareem H. El-Safty

Research Assistant

Wigner Research Centre for Physics

Alexandria Quantum Computing Group

QEgypt

Bio

Kareem is a quantum machine learning researcher with a unique interdisciplinary scientific background. He has a B.Sc in Communications & Electronics Engineering alongside an interesting record of online courses in machine learning, physics, and programming. He has around 4 years of experience in Computer and Machine Vision systems at DevisionX and two years of experience in being a machine learning instructor.

Alongside his machine learning career, he taught himself about quantum computing and managed to become a researcher at the Alexandria Quantum Computing group. Then he became a Qiskit Advocate. After that, he earned a position as a research assistant at Wigner Research Centre for Physics to focus on Photonic Quantum Computation.

Currently, he is doing two master's degrees: an MSc in Quantum Computing Technologies at Universidad Politécnica de Madrid that will finish later in 2022, and the other one is in Computer Engineering at Suez Canal University that is expected to be finished in 2023.

In short, I love Physics and I'm aspiring to be a theoretical physicist one day!

Right now, I'm involved in developing a quantum photonic simulator called Piquasso, I'm mostly interested in quantum feature maps and their profound implications on quantum varitional circuits, and I'm open to collaborate. Moreover, I'm looking to further my industrial experience in computer vision.

Below, you can download my resume and on the left you will find my social media accounts.

Download my resumé.

Interests

Artificial Intelligence
Quantum Machine Learning
Quantum Computing
Quantum Photonics
Computer Vision
Kernel Theory
AutoML

Education

MSc Candidate in Quantum Computing Technologies, 2021/2022

Universidad Politécnica de Madrid
MSc in Computer Engineering, 2020/2023

Suez Canal University
Artificial Intelligence Nanodegree, 2018

Udacity
BSc in Communications & Electronics Engineering, 2017

Suez Canal University

Experience

in Quantum Computing

Research Assistant

Wigner Research Centre for Physics | Quantum computing and informatics research group Group led by Zoltán Zimborás

Apr 2020 – Present Budapest, Hungary

Responsibilities include:

Review, document new Quantum Machine Learning algorithms.
Learnt and used the Continuous Variable (CV) for Optimization Problems.
Built quantum simulator for (CV) systems. Piquasso

Researcher, Quantum Computing

Dark Star Quantum Lab Inc

Apr 2022 – Present USA

Responsibilities include:

Developed the code for the Non-Cooperative game theory and Nash equilibrium paper for quantum annealing.
Investigating Gaussian Boson Sampling for optimization problems.

Researcher

Alexandria Univeristy | Alexandria Quantum Computing Group led by Ahmed Younes

Nov 2019 – Present Alexandria, Egypt

Responsibilities include:

Handling the publicity of the group.
Organized Alexandria Quantum Computing Winter School 2021 AQCWS21
Prepared and Organized a workshop during AQCWS21.
Conducted several sessions to discuss and explain Qiskit besides planing for building a wider network with other research groups across the globe such as Quantum AI Foundation in Poland and Wigner Research Centre for Physics.
Co-Moderation of several Quantum meetups such as Hypatia Series and Washington Quantum Computing meetup.

Co-Founder

QEgypt

Apr 2021 – Present Egypt

Responsibilities include:

Coordination of educational events such as QEgypt Young Researcher Program 2022 QEYR22
Responsible for outreach and internal publicity.
Designing several quantum challenges and content to enrich the content of QWorld open source education material.
Mentoring new members especially in quantum machine learning.

Experience

in Artificial Intelligence

Artificial Intelligence Instructor

Information Technology Institute (ITI)

Aug 2021 – Present Egypt

Taught supervised and unsupervised learning algorithms.

AI Team Leader

DevisionX

Jul 2018 – Jan 2022 Cairo, Egypt

Responsibilities include:

Design, train, and optimize Deep Neural Networks with a view to implementing on embedded DSP platforms.
Facial Recognition systems, Arabic OCR Systems. I was working for Digified at that moment internally.
Developed Auto AI tools such as Tuba.
Leading the Machine Learning Interns program

Experience

Internships

AI Engineer

EPITA

Oct 2020 – Feb 2021 France

Learnt how to be a Machine Learning instructor. It was fully funded by ITI

Machine Learning Specialist

AWS

Sep 2020 – Feb 2021 Cairo, Egypt

Awarded a 6 months internship from MCIT

Cloud Engineer

IBM

Sep 2020 – Aug 2018 Cairo, Egypt

AI Engineer

IBM

Aug 2020 – Jul 2018 Cairo, Egypt

Recent Publications

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Olga Okrut, Keith Cannon, Faisal Shah Khan, Kareem H. El-Safty, Nada Elsokkary (2022). Calculating Nash equilibrium and Nash bargaining solution on quantum annealers. arXiv.

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Ahmed M. El-Mahalawy, Kareem H. El-Safty (2021). Classical and quantum regression analysis for the optoelectronic performance of NTCDA/p-Si UV photodiode. Optik.

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Zsolt Tabi, Kareem H. El-Safty, Zsófia Kallus, Péter Hága, Tamás Kozsik, Adam Glos, Zoltán Zimborás (2020). Quantum Optimization for the Graph Coloring Problem with Space-Efficient Embedding. 2020 IEEE International Conference on Quantum Computing and Engineering (QCE).

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